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This might be of interest to some of you.
 
Suchith Anand
 
Dr Suchith Anand
Centre for Geospatial Science
Sir Clive Granger Building
University of Nottingham
Tel: (0)115 846 8408
http://www.nottingham.ac.uk/cgs/cgs_suchith_anand.html
http://www.opensourcegis.org.uk/
http://ica-opensource.scg.ulaval.ca/


From: [log in to unmask] on behalf of [log in to unmask]
Sent: Wed 05/08/2009 20:11
To: [log in to unmask]
Subject: [OSGeo-Discuss] Request for Abstracts: Fall 2009 AGU Session IN18: Open Source Remote Sensing Software and Applications for Earth and Environmental Science


Dear Colleagues and Open Source Remote Sensing practitioners and developers,

Please consider submitting an abstract for the Fall American Geophysical Union meeting December 14-18, 2009 in San Francisco:

Session IN18: Open Source Remote Sensing Software and Applications for Earth and Environmental Science


Please note: abstracts are due online on September 3, 2009.

Abstract Submissions:

http://www.agu.org/meetings/fm09/program/abstract_submissions.php  

Link to AGU Session:

http://www.agu.org/meetings/fm09/program/scientific_session_search.php?show=detail&sessid=604

Abstract:
Satellite and airborne remote sensing imagery is integral to geospatial research in earth and environmental sciences. The synoptic bird’s eye view helps us see relationships among landscape elements in their spatial context, the continuum of nature and human infrastructure. There are increasing amounts of satellite and aerial remote sensing imagery of the earth available for free and low cost (e.g., Landsat; USGS and USDA aerial photography), via convenient online data portals and virtual earths. However, for some user communities, licensing costs for commercial image processing and analysis software may present barriers to scientific use of free remote sensing imagery. The goal of this session is to present examples of application and development of free and open source remote sensing and image processing software for use in the earth and environmental sciences. Of particular interest are abstract submissions highlighting open source software applied to the following: high resolution imagery (0.5-5 m pixels) for detailed landscape mapping, LIDAR, plugin image processing algorithms for virtual earths, operational web-based remote sensing, and web processing services (WPS).

Conveners:
Drew Pilant, US Environmental Protection Agency; Peter Fox, Rensselaer Polytechnic Institute

Thank you for your kind consideration. Please forward as appropriate.

Sincerely,

Drew Pilant, Ph.D.
Remote Sensing Research Scientist
US Environmental Protection Agency
Office of Research and Development
Landscape Characterization Branch
tel:  919.541.0648
fax: 919.541.9420
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